Hierarchical cooperative eco‐driving control for connected autonomous vehicle platoon at signalized intersections

Author:

Wu Simin1,Chen Zheng1ORCID,Shen Shiquan1,Shen Jiangwei1,Guo Fengxiang1,Liu Yonggang2,Zhang Yuanjian3

Affiliation:

1. Faculty of Transportation Engineering Kunming University of Science and Technology Kunming China

2. State Key Laboratory of Mechanical Transmissions and School of Mechanical and Vehicle Engineering Chongqing University Chongqing China

3. Department of Aeronautical and Automotive Engineering Loughborough University Loughborough UK

Abstract

AbstractVehicles in the platoon can sufficiently incorporate the information via V2X communication to plan ecological speed trajectories and pass the intersection smoothly. Most existing eco‐driving studies mainly focus on the optimal control of a single vehicle at an individual signalized intersection, while rarely involving the cooperative optimization of a group of vehicles at successive signalized intersections. In this study, a hierarchical cooperative eco‐driving control for a connected autonomous vehicle (CAV) platoon is proposed to enhance traffic mobility and energy efficiency, wherein the velocity trajectory of the leading vehicle at each isolated signalized intersection is planned using the pseudo‐spectral method, and then the cooperative optimization of following vehicles in the platoon is conducted via rolling optimization, with the aim of improving driving comfort, safety and energy economy for the platoon. The simulation results highlight that the proposed hierarchical cooperative eco‐driving strategy can lead to preferable vehicle‐following behaviours and platoon driving performance, and the overall energy consumption and trip time of vehicle platoon are respectively reduced by 26.10% and 2.83%, compared with that under manual driving. Furthermore, the overall energy economy is promoted by 4.95% and 4.60%, compared with cooperative adaptive cruise control and intelligent driver model‐based platoon control strategies.

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An improved eco-driving strategy for mixed platoons of autonomous and human-driven vehicles;Physica A: Statistical Mechanics and its Applications;2024-05

2. RSU-Aided Energy-Efficient Collaborative Perception for Connected Autonomous Vehicles;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

3. Data-driven rolling eco-speed optimization for autonomous vehicles;Frontiers of Engineering Management;2024-04-12

4. V2X assisted co‐design of motion planning and control for connected automated vehicle;IET Intelligent Transport Systems;2024-03-05

5. Energy‐efficiency optimization and control for electric vehicle platooning with regenerating braking;IET Intelligent Transport Systems;2023-12-08

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